Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19031417 | METHODS AND DEVICES FOR DETECTING SURFACE DEFECTS BASED ON PERCEPTUAL AUTOENCODERS | January 2025 | March 2025 | Allow | 2 | 0 | 0 | No | No |
| 18994255 | CABLE DAMAGE DETECTION BY MACHINE VISION | January 2025 | June 2025 | Allow | 5 | 0 | 0 | No | No |
| 18955810 | METHOD FOR CONSTRUCTING DEFECT DETECTION MODEL, METHOD FOR DETECTING DEFECT AND RELATED APPARATUS | November 2024 | February 2025 | Allow | 2 | 0 | 0 | No | No |
| 18930296 | METHOD AND SYSTEM FOR FISH IDENTIFICATION BASED ON BODY SURFACE TEXTURE FEATURES AND GEOMETRIC FEATURES | October 2024 | December 2024 | Allow | 2 | 0 | 0 | No | No |
| 18884399 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | September 2024 | April 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 18816849 | MULTI-ANGLE IMAGE SEMANTIC SEGMENTATION METHOD FOR CADMIUM ZINC TELLURIDE CHIPS | August 2024 | October 2024 | Allow | 2 | 0 | 0 | No | No |
| 18764824 | METHOD AND SYSTEM FOR SURFACE DEFECT DETECTION BASED ON FEW-SHOT LEARNING | July 2024 | August 2024 | Allow | 2 | 0 | 0 | No | No |
| 18629281 | Conformance Testing of Manufactured Parts via Neural Networks | April 2024 | July 2024 | Allow | 4 | 1 | 0 | No | No |
| 18588245 | APPARATUS AND METHODS FOR AUTOMATED MENTORSHIP USING MACHINE-LEARNING PROCESSES | February 2024 | August 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18425425 | System for Ensuring Safe Driving | January 2024 | August 2024 | Allow | 6 | 1 | 0 | No | No |
| 18423389 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | January 2024 | May 2025 | Allow | 17 | 1 | 0 | No | No |
| 18412985 | SYSTEMS AND METHODS RELATED TO POWER AMPLIFICATION AND POWER SUPPLY CONTROL | January 2024 | April 2025 | Allow | 15 | 1 | 0 | No | No |
| 18406211 | HOT SPOT DEFECT DETECTING METHOD AND HOT SPOT DEFECT DETECTING SYSTEM | January 2024 | April 2025 | Allow | 15 | 1 | 0 | No | No |
| 18565533 | RADIO FREQUENCY DOMAIN CALIBRATION SYSTEM AND METHOD FOR RADIO FREQUENCY CIRCUIT UNITS | November 2023 | April 2024 | Allow | 5 | 0 | 0 | No | No |
| 18518175 | METHOD AND SYSTEM FOR MONOCULAR DEPTH ESTIMATION OF PERSONS | November 2023 | April 2025 | Allow | 16 | 1 | 0 | No | No |
| 18383633 | CONFLATION OF GEOSPATIAL POINTS OF INTEREST AND GROUND-LEVEL IMAGERY | October 2023 | December 2023 | Allow | 2 | 0 | 0 | No | No |
| 18489250 | SYSTEM AND METHOD FOR ONLINE REAL-TIME MULTI-OBJECT TRACKING | October 2023 | April 2025 | Allow | 18 | 1 | 0 | No | No |
| 18466116 | Radio-frequency Amplifier Circuitry with Improved Transmit and Receive Performance | September 2023 | April 2025 | Allow | 19 | 1 | 0 | Yes | No |
| 18459406 | SYSTEMS AND METHODS FOR LOCATING OBJECTS | August 2023 | November 2024 | Allow | 14 | 1 | 0 | No | No |
| 18235279 | HIGH-SPEED DELAY SCANNING AND DEEP LEARNING TECHNIQUES FOR SPECTROSCOPIC SRS IMAGING | August 2023 | April 2025 | Allow | 19 | 1 | 0 | No | No |
| 18234682 | Selection of Video Frames Using a Machine Learning Predictor | August 2023 | February 2025 | Allow | 18 | 1 | 0 | No | No |
| 18365134 | FULLY AUTOMATED SEM SAMPLING SYSTEM FOR E-BEAM IMAGE ENHANCEMENT | August 2023 | June 2024 | Allow | 10 | 1 | 0 | No | No |
| 18226543 | SYSTEM AND METHOD FOR HYPERSPECTRAL IMAGE-BASED QUALITY CONTROL ANALYSIS OF CROP LOADS | July 2023 | October 2023 | Allow | 2 | 0 | 0 | No | No |
| 18204797 | SYSTEMS AND METHODS FOR A MULTI-MODEL MESSAGE GENERATION ARCHITECTURE | June 2023 | August 2023 | Allow | 2 | 0 | 0 | No | No |
| 18204406 | DETECTION METHOD, DETECTION DEVICE AND STORAGE MEDIUM | June 2023 | May 2024 | Allow | 12 | 2 | 0 | No | No |
| 18325127 | CLASSIFICATION WITH SEGMENTATION NEURAL NETWORK FOR IMAGE-BASED CONTENT CAPTURE | May 2023 | September 2024 | Allow | 16 | 2 | 0 | Yes | No |
| 18322157 | GEOSPATIAL OBJECT GEOMETRY EXTRACTION FROM IMAGERY | May 2023 | July 2024 | Allow | 14 | 1 | 0 | No | No |
| 18317928 | ATTENTION-BASED JOINT IMAGE AND FEATURE ADAPTIVE SEMANTIC SEGMENTATION METHOD | May 2023 | August 2023 | Allow | 3 | 0 | 0 | No | No |
| 18196900 | METHOD AND SYSTEM FOR DEFECT DETECTION | May 2023 | November 2023 | Allow | 6 | 1 | 0 | Yes | No |
| 18307220 | SYSTEM AND METHODS FOR DETERMINING MODIFIED FRACTIONAL FLOW RESERVE VALUES | April 2023 | July 2024 | Allow | 14 | 1 | 0 | No | No |
| 18306166 | SUBTLE DEFECT DETECTION METHOD BASED ON COARSE-TO-FINE STRATEGY | April 2023 | June 2023 | Allow | 1 | 0 | 0 | No | No |
| 18305287 | ENSEMBLE OF DEEP LEARNING MODELS FOR DEFECT REVIEW IN HIGH VOLUME MANUFACTURING | April 2023 | September 2024 | Allow | 17 | 0 | 0 | No | No |
| 18301315 | METHOD AND DETECTOR FOR DETECTING A PRESENCE OF A WIRELESS DEVICE | April 2023 | June 2025 | Allow | 25 | 0 | 0 | No | No |
| 18300758 | METHOD FOR LARGE SCENE ELASTIC SEMANTIC REPRESENTATION AND SELF-SUPERVISED LIGHT FIELD RECONSTRUCTION | April 2023 | July 2023 | Allow | 3 | 0 | 0 | No | No |
| 18128140 | CONTEXT-BASED DEFECT INSPECTION | March 2023 | October 2023 | Allow | 7 | 0 | 0 | No | No |
| 18171511 | Training Image and Text Embedding Models | February 2023 | March 2024 | Allow | 13 | 2 | 0 | No | No |
| 18168635 | BASE STATION ANTENNA WITH HIGH PERFORMANCE ACTIVE ANTENNA SYSTEM (AAS) INTEGRATED THEREIN | February 2023 | March 2025 | Allow | 25 | 2 | 1 | No | No |
| 18018857 | VISUAL ANALYSIS METHOD FOR CABLE ELEMENT IDENTIFICATION | January 2023 | June 2023 | Allow | 4 | 0 | 0 | No | No |
| 18101997 | METHOD AND SYSTEM FOR TESTING DEVICE UNDER TEST (DUT) OVER LONG DISTANCE | January 2023 | May 2025 | Allow | 28 | 0 | 0 | No | No |
| 18157157 | RADIO-FREQUENCY MODULE AND COMMUNICATION DEVICE | January 2023 | May 2025 | Allow | 28 | 0 | 0 | No | No |
| 18095626 | VEHICLE ENVIRONMENT MODELING WITH A CAMERA | January 2023 | August 2023 | Allow | 7 | 1 | 0 | No | No |
| 18150665 | DAMAGE DETECTION USING MACHINE LEARNING | January 2023 | April 2025 | Allow | 27 | 1 | 0 | No | No |
| 18148256 | ATTRIBUTIONALLY ROBUST TRAINING FOR WEAKLY SUPERVISED LOCALIZATION AND SEGMENTATION | December 2022 | September 2023 | Allow | 8 | 1 | 0 | No | No |
| 18064649 | COMPUTER SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR RAPID DIAGNOSTIC TEST RESULT INTERPRETATION PLATFORM UTILIZING COMPUTER VISION | December 2022 | September 2023 | Allow | 9 | 0 | 0 | No | No |
| 18062487 | COMMUNICATION AND POWERING SYSTEM FOR AN IMPLANTED SMART DEVICE AND USES OF THE SAME | December 2022 | April 2025 | Allow | 28 | 0 | 0 | No | No |
| 17978672 | ELECTRONIC DEVICE AND METHOD WITH MACHINE LEARNING TRAINING | November 2022 | February 2025 | Allow | 28 | 0 | 0 | No | No |
| 17973525 | SOME AUTOMATED AND SEMI-AUTOMATED TOOLS FOR LINEAR FEATURE EXTRACTION IN TWO AND THREE DIMENSIONS | October 2022 | September 2023 | Allow | 10 | 1 | 0 | No | No |
| 17921282 | DEPTH ESTIMATION METHOD, DEPTH ESTIMATION DEVICE AND DEPTH ESTIMATION PROGRAM | October 2022 | January 2025 | Allow | 27 | 0 | 0 | No | No |
| 17962014 | NEURAL NETWORK TRAINING DEVICE, SYSTEM AND METHOD | October 2022 | April 2025 | Abandon | 30 | 2 | 0 | No | Yes |
| 17938426 | ACOUSTIC WAVE DEVICES WITH MULTI-LAYER PIEZOELECTRIC SUBSTRATE | October 2022 | June 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 17915518 | LEARNING DEVICE, LEARNING METHOD, INFERENCE DEVICE, AND STORAGE MEDIUM | September 2022 | April 2025 | Allow | 31 | 1 | 0 | No | No |
| 17907529 | Single Image 3D Photography with Soft-Layering and Depth-aware Inpainting | September 2022 | November 2024 | Allow | 26 | 0 | 0 | No | No |
| 17934527 | DEEP LEARNING MODEL FOR HIGH RESOLUTION PREDICTIONS | September 2022 | February 2025 | Allow | 29 | 1 | 0 | No | No |
| 17898780 | SYSTEMS AND METHODS OF DATA AUGMENTATION FOR PRE-TRAINED EMBEDDINGS | August 2022 | August 2023 | Allow | 11 | 1 | 0 | No | No |
| 17897963 | ELECTRIC TOOL SYSTEM, MANAGEMENT SYSTEM, MANAGEMENT METHOD, AND NON-TRANSITORY STORAGE MEDIUM | August 2022 | March 2025 | Allow | 31 | 1 | 0 | No | No |
| 17895713 | FAULT DETECTION METHOD AND SYSTEM FOR TUNNEL DOME LIGHTS BASED ON IMPROVED LOCALIZATION LOSS FUNCTION | August 2022 | December 2023 | Allow | 15 | 0 | 0 | No | No |
| 17892869 | Radio-frequency Amplifier Circuitry with Improved Transmit and Receive Performance | August 2022 | May 2025 | Abandon | 33 | 1 | 0 | No | No |
| 17885218 | COMPUTER SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR RAPID DIAGNOSTIC TEST RESULT INTERPRETATION PLATFORM UTILIZING COMPUTER VISION | August 2022 | October 2022 | Allow | 2 | 0 | 0 | No | No |
| 17817469 | RADIO FREQUENCY MEASUREMENT SYSTEM AND A METHOD FOR RECORDING BASEBAND AND POSITIONING DATA | August 2022 | September 2024 | Allow | 26 | 0 | 0 | No | No |
| 17880769 | PINCH GESTURE DETECTION AND RECOGNITION METHOD, DEVICE AND SYSTEM | August 2022 | May 2023 | Allow | 9 | 1 | 0 | No | No |
| 17816377 | Method and System for Detecting Plane Information | July 2022 | May 2023 | Allow | 9 | 1 | 0 | No | No |
| 17875726 | Rightsizing Software Stacks | July 2022 | January 2025 | Allow | 30 | 1 | 0 | No | No |
| 17866265 | PROVISION OF AUDIO AND VIDEO STREAMS BASED ONHAND DISTANCES | July 2022 | April 2025 | Abandon | 33 | 1 | 0 | No | No |
| 17859945 | REPRESENTATION LEARNING FOR OBJECT DETECTION FROM UNLABELED POINT CLOUD SEQUENCES | July 2022 | May 2025 | Allow | 34 | 2 | 0 | Yes | No |
| 17855745 | DRIVING SCENARIO UNDERSTANDING | June 2022 | August 2024 | Allow | 26 | 0 | 0 | No | No |
| 17789560 | Communication Link Adjustment Method and Apparatus, Electronic Device, and Readable Medium | June 2022 | November 2024 | Allow | 29 | 1 | 0 | No | No |
| 17808466 | MULTIPLEXER WITH ACOUSTIC WAVE FILTERS AND TRAP CIRCUIT | June 2022 | November 2024 | Allow | 29 | 1 | 0 | No | No |
| 17844469 | COMMUNICATION APPARATUS FOR MISSION PERFORMING USER AND RELATED METHODS | June 2022 | July 2025 | Allow | 36 | 3 | 0 | No | No |
| 17841937 | VEHICLE ENVIRONMENT MODELING WITH A CAMERA | June 2022 | September 2022 | Allow | 3 | 0 | 0 | No | No |
| 17830939 | SYSTEM AND METHOD FOR TRAINING AN ARTIFICIAL INTELLIGENCE (AI) CLASSIFIER OF SCANNED ITEMS | June 2022 | August 2022 | Allow | 2 | 0 | 0 | No | No |
| 17830826 | IMAGE ENHANCEMENT SYSTEM AND METHOD BASED ON GENERATIVE ADVERSARIAL NETWORK (GAN) MODEL | June 2022 | April 2023 | Allow | 10 | 0 | 0 | No | No |
| 17804909 | METHOD AND SYSTEM FOR MONOCULAR DEPTH ESTIMATION OF PERSONS | June 2022 | August 2023 | Allow | 15 | 1 | 0 | No | No |
| 17777612 | FACIAL EXPRESSION LABELING APPARATUS, FACIAL EXPRESSION LABELLING METHOD, AND PROGRAM | May 2022 | July 2024 | Allow | 26 | 0 | 0 | No | No |
| 17732540 | VISION-LiDAR FUSION METHOD AND SYSTEM BASED ON DEEP CANONICAL CORRELATION ANALYSIS | April 2022 | September 2022 | Allow | 5 | 0 | 0 | No | No |
| 17729431 | SYSTEM AND METHOD FOR TRAINING AN ARTIFICIAL INTELLIGENCE (AI) CLASSIFIER OF SCANNED ITEMS | April 2022 | July 2022 | Allow | 3 | 1 | 0 | No | No |
| 17660218 | SYSTEMS AND METHODS FOR IDENTIFYING A SERVICE QUALIFICATION OF A MULTI-UNIT BUILDING BASED ON EXTERIOR ACCESS | April 2022 | July 2024 | Allow | 27 | 1 | 0 | No | No |
| 17726383 | SYSTEMS AND METHODS FOR ENHANCING MEDICAL IMAGES | April 2022 | November 2024 | Allow | 30 | 1 | 0 | No | No |
| 17769269 | CONTEXT-DRIVEN LEARNING OF HUMAN-OBJECT INTERACTIONS | April 2022 | October 2024 | Allow | 30 | 1 | 0 | No | No |
| 17659208 | CARDIO AI SMART ASSISTANT FOR SEMANTIC IMAGE ANALYSIS OF MEDICAL IMAGING STUDIES | April 2022 | October 2024 | Allow | 30 | 1 | 0 | No | No |
| 17656415 | SYSTEM AND METHOD FOR ONLINE REAL-TIME MULTI-OBJECT TRACKING | March 2022 | July 2023 | Allow | 16 | 1 | 0 | No | No |
| 17656137 | Domain Adaptation Using Simulation to Simulation Transfer | March 2022 | December 2023 | Allow | 21 | 1 | 0 | No | No |
| 17694384 | SYSTEMS AND METHODS OF REAL-TIME MOVEMENT, POSITION DETECTION, AND IMAGING | March 2022 | February 2024 | Allow | 23 | 2 | 0 | No | No |
| 17693005 | MODULAR LOW LATENCY ELECTRICAL SEQUENCE FOR DIE-TO-DIE INTERFACE | March 2022 | April 2025 | Allow | 37 | 0 | 0 | No | No |
| 17689452 | METHODS AND SYSTEMS FOR FEATURE RECOGNITION OF TWO-DIMENSIONAL PRINTS FOR MANUFACTURE | March 2022 | September 2022 | Allow | 6 | 1 | 0 | No | No |
| 17686448 | PROCESSING APPARATUS, MOBILE OBJECT, PROCESSING METHOD, AND STORAGE MEDIUM | March 2022 | September 2024 | Allow | 31 | 1 | 0 | No | No |
| 17681085 | METHOD AND ELECTRONIC PORTAL SYSTEM FOR BUILDING FA�ADE INSPECTION | February 2022 | December 2024 | Abandon | 33 | 1 | 0 | No | No |
| 17638231 | METHOD AND SYSTEM FOR PERFORMING DE-IDENTIFIED LOCATION ANALYTICS | February 2022 | May 2024 | Allow | 26 | 0 | 0 | No | No |
| 17681291 | SYSTEM AND METHOD FOR GEO-REFERENCING OBJECT ON FLOOR | February 2022 | November 2024 | Allow | 32 | 1 | 0 | No | No |
| 17674495 | METHOD AND SYSTEM FOR DYNAMIC CROPPING OF FULL BODY POSE IMAGES | February 2022 | April 2024 | Allow | 26 | 0 | 0 | No | No |
| 17650412 | SYSTEM FOR IDENTIFYING AND TRACKING TOOLS, INSTRUMENTS AND CONSUMABLE PLACED ON WORKSURFACES | February 2022 | September 2024 | Allow | 32 | 1 | 0 | No | No |
| 17667567 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | February 2022 | November 2023 | Allow | 21 | 2 | 0 | No | No |
| 17650053 | SYSTEMS AND METHODS FOR REGISTRATION BETWEEN PATIENT SPACE AND IMAGE SPACE USING REGISTRATION FRAME APERTURES | February 2022 | September 2024 | Allow | 32 | 1 | 0 | No | No |
| 17591662 | METHOD FOR DETERMINING AN ORIENTATION OF AN INDUSTRIAL TRUCK | February 2022 | July 2024 | Allow | 30 | 1 | 0 | No | No |
| 17629373 | RECONSTRUCTION METHOD OF THREE-DIMENSIONAL (3D) HUMAN BODY MODEL, STORAGE DEVICE AND CONTROL DEVICE | January 2022 | July 2022 | Allow | 6 | 0 | 0 | No | No |
| 17574428 | GRAPH NEURAL NETWORK TRAINING METHODS AND SYSTEMS | January 2022 | October 2024 | Allow | 33 | 2 | 0 | Yes | No |
| 17569966 | HIGH-SPEED DELAY SCANNING AND DEEP LEARNING TECHNIQUES FOR SPECTROSCOPIC SRS IMAGING | January 2022 | May 2023 | Allow | 16 | 0 | 0 | No | No |
| 17567402 | Cognitive Attribution | January 2022 | June 2023 | Allow | 17 | 1 | 0 | No | No |
| 17565115 | Image-Based Assay Performance Improvement | December 2021 | January 2023 | Allow | 13 | 1 | 0 | No | No |
| 17560149 | SYSTEMS AND METHODS FOR DETECTING OBJECTS CROSSING PLANES | December 2021 | September 2024 | Allow | 33 | 1 | 0 | No | No |
| 17555112 | MULTI-SCALE RECURRENT DECODER FOR MONOCULAR DEPTH ESTIMATION | December 2021 | May 2023 | Allow | 17 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner HSIEH, PING Y.
With a 66.7% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 62.5% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner HSIEH, PING Y works in Art Unit 2664 and has examined 477 patent applications in our dataset. With an allowance rate of 94.3%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 22 months.
Examiner HSIEH, PING Y's allowance rate of 94.3% places them in the 84% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by HSIEH, PING Y receive 1.02 office actions before reaching final disposition. This places the examiner in the 13% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by HSIEH, PING Y is 22 months. This places the examiner in the 80% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +3.7% benefit to allowance rate for applications examined by HSIEH, PING Y. This interview benefit is in the 25% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 35.4% of applications are subsequently allowed. This success rate is in the 75% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 49.2% of cases where such amendments are filed. This entry rate is in the 69% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 10% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 66.7% of appeals filed. This is in the 44% percentile among all examiners. Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 21.3% are granted (fully or in part). This grant rate is in the 12% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 20% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.4% of allowed cases (in the 49% percentile). This examiner issues Quayle actions less often than average. Allowances may come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.